Amigo
Applied AI Engineer (Pre-Sale)
About this role
Join Amigo as an Applied AI Engineer in a pre-sales GTM role where you'll rapidly prototype AI agents for healthcare workflows, turning clinical problems into live demos that close deals. You'll experiment with cutting-edge models, partner with sales teams on technical discovery, and shape go-to-market strategy through fast iteration and field learning.
What you'll do
- Build rapid POCs and live demos showing how AI agents solve clinical workflows for prospects
- Run experiments with new models and techniques to create reusable GTM plays
- Partner with account executives on technical discovery and deal scoping
- Deliver live technical demonstrations that prototype solutions in real time
- Build demo infrastructure, sandboxes, and reference architectures for repeatable sales execution
- Feed field learnings back to product and research teams to inform roadmap priorities
What they're looking for
- Rapid prototyping and ability to ship scrappy solutions quickly
- LLM and AI agent development
- Python programming
- Technical presentation and communication to diverse audiences
- Problem discovery and systems thinking
- Healthcare domain knowledge or regulated industry experience
- API integration and working with external tools
- Sales engineering or solutions architecture mindset
Benefits
- Comprehensive health, dental, and vision insurance
- Daily catered lunch and dinner
- Mental health support and wellness coaching
- Flexible wellness stipend for fitness, therapy, or personal growth
- Annual learning budget for professional development
- Conference attendance and annual team offsite
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Amigo
Amigo builds AI agents and solutions designed to enhance clinical workflows and healthcare operations. The company is hiring Applied AI Engineers and Forward Deployed AI Engineers to develop, deploy, and optimize production AI agents while collaborating with healthcare customers.
View all jobs at AmigoLikely interview questions
- Walk us through a time you built a prototype or demo under tight time constraints—what did you ship and how did you prioritize scope?
- Describe your experience with LLMs and AI agents—which models have you worked with and what limitations did you encounter?